What happens when everyone can apply to everything?
HR teams and qualified candidates pay the price.
NEW RESEARCH: When effortless applications made hiring harder
Applying to a job used to take effort, and that effort told you something. Now a candidate can send a hundred AI-polished applications in a lunch break. Pipelines are fuller than ever and the signal recruiters depend on is gone.
We surveyed 500 HR and talent acquisition leaders at large enterprises to find out what that is costing them.
Key findings from the research:
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99% of HR teams are concerned about AI-assisted candidate fraud
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50% of survey respondents have personally experienced candidates failing to show up for scheduled interviews and 60% have had someone on their team experience it
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Candidates are using AI to create deepfake interviews (33%) or engaging in proxy interviewing where one person interviews and someone else performs the work (37%)
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69% of respondents say their workload has increased over the last two years with 48% experiencing burnout
say application volume per role has increased
have had candidates fail to show for a scheduled interview
are concerned about AI-assisted candidate misrepresentation
say their workload is heavier than it was two years ago
What's inside
- Why more applications are producing worse hiring
- Where candidates drop out, and why so many were never really there
- How AI-assisted fraud is getting past teams who are confident they can catch it
- What a hiring process built for this market actually looks like
Based on an LHH survey of 500 HR and talent acquisition leaders, 2026